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oCELLoc

Predicts Suitable Cell Types in Spatial Transcriptomics and scRNA-seq Data

v1.0.0 · Dec 22, 2025 · MIT + file LICENSE

Description

Picks the suitable cell types in spatial and scRNA-seq data using shrinkage methods. The package includes curated reference gene expression profiles for human and mouse cell types, facilitating immediate application to common spatial transcriptomics or scRNA datasets. Additionally, users can input custom reference data to support tissue- or experiment-specific analyses.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

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Dependency Network

Dependencies Reverse dependencies glmnet ggplot2 rlang reshape2 oCELLoc

Version History

1 tracked
new 1.0.0 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Dec 22, 2025. Releases before tracking aren’t shown.